About this dataset

Context

The dataset tabulates the population of San Diego County by race. It includes the population of San Diego County across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of San Diego County across relevant racial categories.

Key observations

The percent distribution of San Diego County population by race (across all racial categories recognized by the U.S. Census Bureau): 53.01% are white, 4.71% are Black or African American, 0.94% are American Indian and Alaska Native, 12.22% are Asian, 0.42% are Native Hawaiian and other Pacific Islander, 10.60% are some other race and 18.10% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the San Diego County
• Population: The population of the racial category (excluding ethnicity) in the San Diego County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Diego County total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Diego County Population by Race & Ethnicity. You can refer the same here

Graph and download economic data for Population Estimate, Total, Hispanic or Latino, Some Other Race Alone (5-year estimate) in San Diego County, CA (B03002018E006073) from 2009 to 2023 about San Diego County, CA; San Diego; latino; hispanic; estimate; persons; 5-year; CA; population; and USA.

The number and percent of the population stratified by race/ethnicity. API refers to Asian/ Pacific Islanders and include Asian, Pacific Islander, and Native Hawaiian. Other Race includes American Indian or Alaska Native, 2 or more races, and other. Source: U.S. Census Bureau; 2011-2015 American Community Survey 5-Year Estimates, Table B03002.

This indicator shows total population broken down by race/ethnicity. Note: In previous iterations of the Demographic Profiles, American Indian/Aslakan Native (AIAN) had been part of the 'Other*' category. Beginning in 2017, 'AIAN' will be a unique category. People of Hispanic origin may be of any race. *API refers to Asian/ Pacific Islanders and include Asian, Pacific Islander, and Native Hawaiian; AIAN refers to American Indian/ Alaskan Natives; Other includes those of two or more races or other. Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table B03002.

This dataset contains data included in the San Diego County Regional Equity Indicators Report led by the Office of Equity and Racial Justice (OERJ). The full report can be found here: https://data.sandiegocounty.gov/stories/s/7its-kgpt.

Geographic data used to create maps in the report can be found here: https://data.sandiegocounty.gov/dataset/Equity-Report-Data-Geography/p6uw-qxpv

Filter by the Indicator column to select data for a particular indicator.

User notes: 8/1/25 - for the report year 2025, the following change were made: Business Ownership: the minority and nonminority labels were switched for the population estimates and some of the race/ethnicity data for nonemployer businesses were corrected. Homelessness: added asterisks to category name for unincorporated regions to allow for a footnote in the figure in the story page.

7/11/25 - for the report year 2025, the following changes were made: Beach Water Quality: the number of days with advisories was corrected for Imperial Beach municipal beach, San Diego Bay, and Ocean Beach.

5/22/25 - for the report year 2023, the following changes were made: Youth poverty/Poverty: IPUMS identified an error in the POVERTY variable for multi-year ACS samples. In July 2024, they released a revised version of all multi-year ACS samples to IPUMS USA, which included corrected POVERTY values. The corrected POVERTY values were downloaded, and the analysis was rerun for this indicator using the 2021 ACS 5-year Estimates. Youth Poverty: data source label corrected to be 2021 for all years. Employment, Homeownership, and Cost-Burdened Households - Notes were made consistent for rows where category = Race/Ethnicity.

5/9/25 - Excluding data for the crime section indicators, data were appended on May 9, 2025 and the report will be updated to reflect the new data in August 2025. The following changes in methods were made: For indicators based on American Community Survey (ACS) data, the foreign-born category name was changed to Nativity Status. Internet access: Group quarters is a category included in the survey sample, but it is not part of the universe for the analysis. For the 2025 Equity Report year, respondents in group quarters were excluded from the analysis, whereas for the 2023 Equity Report year, these respondents were included. Adverse childhood experiences - new data source.

Prepared by: Office of Evaluation, Performance, and Analytics and the Office of Equity and Racial Justice, County of San Diego, in collaboration with the San Diego Regional Policy & Innovation Center (https://www.sdrpic.org).

About this dataset

Context

The dataset tabulates the Non-Hispanic population of San Diego County by race. It includes the distribution of the Non-Hispanic population of San Diego County across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of San Diego County across relevant racial categories.

Key observations

Of the Non-Hispanic population in San Diego County, the largest racial group is White alone with a population of 1.42 million (65.75% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the San Diego County
• Population: The population of the racial category (for Non-Hispanic) in the San Diego County is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of San Diego County total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Diego County Population by Race & Ethnicity. You can refer the same here

Veterans by largest Race and Ethnicity categories, by Health and Human Services Service Area.

This indicator provides the provides the percentage of civilian veterans by race/ethnicity group.

Veterans are persons 18 years and over who ever served on active duty. A civilian veteran refers to persons 18 years or older who served on active duty in any military branch or served in the National Guard or military reserves (only those ever called or ordered to active duty were classified as veterans). It does not include persons currently in active duty.

Source: U.S. Census Bureau; 2013-2017 American Community Survey 5-Year Estimates, Table S2101.

Veterans by largest Race and Ethnicity categories, by City. Veterans: Civilians who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty. Source: U.S. Census Bureau; 2012-2016 American Community Survey 5-Year Estimates, Table S2101.

Population by Age, Sex and Ethnicity by San Diego Region from the 2020 Decennial Census

This dataset tracks annual two or more races student percentage from 2011 to 2023 for San Diego Metro Career And Technical vs. California and San Diego Unified School District

This project uses locations of testing sites and hospitals, as well as census information by census tracts in San Diego, to compare infection risks between white and non-white areas. Linear regression has been used to find correlation between population characteristics and testing site patterns.Additional information in the Project PDFNotable Modules Used: Python: pandas, geopandas, numpy, matplotlib, sklearn ArcGIS: find_existing_locations, enrich_layer, join_features

Population by Age, Sex and Ethnicity by San Diego Region from the SANDAG Vintage 23.1 Population and Housing Estimates

This dataset tracks annual two or more races student percentage from 2011 to 2023 for Madison High School vs. California and San Diego Unified School District

Population by Ethnicity by San Diego Region from the SANDAG Vintage 23.1 Population and Housing Estimates

About this dataset

Context

The dataset presents the median household income across different racial categories in San Diego. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to gain insights into economic disparities and trends and explore the variations in median houshold income for diverse racial categories.

Key observations

Based on our analysis of the distribution of San Diego population by race & ethnicity, the population is predominantly White. This particular racial category constitutes the majority, accounting for 50.43% of the total residents in San Diego. Notably, the median household income for White households is $112,041. Interestingly, despite the White population being the most populous, it is worth noting that Asian households actually reports the highest median household income, with a median income of $124,834. This reveals that, while Whites may be the most numerous in San Diego, Asian households experience greater economic prosperity in terms of median household income.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in San Diego.
• Median household income: Median household income, adjusting for inflation, presented in 2023-inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for San Diego median household income by race. You can refer the same here

Population by Ethnicity by San Diego Region from the 2010 Decennial Census

For current version see: https://www.sandiegocounty.gov/content/sdc/hhsa/programs/phs/community_health_statistics/CHSU_Mortality.html#leading

Leading Causes of Death in San Diego County, by Gender, Race/Ethnicity, HHSA Region and Supervisorial District. Gender and race/ethnicity are at the county geographic level.

Notes: 1. Rank is based on total number of deaths in each of the National Center for Health Statistics (NCHS) "rankable" categories. The top 15 leading causes of death presented here are based on the San Diego County residents for each year.
2. Cause of death is based on the underlying cause of death reported on death certificates as classified by ICD-10 codes.
3. Deaths for specific demographics or geographic area may not equal the total deaths for San Diego County due to missing data.
§ Not shown for fewer than 5 deaths.

Source: California Department of Public Health, Center for Health Statistics, Office of Health Information and Research, Vital Records Business Intelligence System.
Prepared by County of San Diego, Health & Human Services Agency, Public Health Services, Community Health Statistics Unit, 2018.

This data collection was produced by the San Diego Association of Governments (SANDAG) and donated to the University of California, San Diego Social Science Data Collection (SSDC) for archival retention and public dissemination. The data consists of 1990 April 1 Census Bureau population and housing data and annual SANDAG intercensal estimates of population and housing data from 1991 through 2000. The data have been designed for comparability with historical census data, and these estimates may be used to evaluate changes occurring over time. Estimates are available for the San Diego region, major statistical areas (MSAs), subregional areas (SRAs), census tracts, cities, zip codes, County of San Diego Planning Areas, and City of San Diego Community Planning Areas. Almost 400 variables in the dataset include: Total Population, Population in Households, Housing Units by category, Households by income level, Median Household Income, Employment by broad sector, Occupation by broad category, and land area. Population estimates are available by sex/age/ethnicity. The data use 23 age groupings and four ethnic groupings. The four ethnic groups are Hispanic, non-Hispanic White, non- Hispanic Black, and non-Hispanic Asian. These groups are defined based on comb ined responses to two questions on the U.S. Census form, one concerning race and another concerning Hispanic origin. Those who wish to analyze the data with statistical software or merge the data with GIS boundary files may, from the SSDC files page, download the the original data files as they were distributed by SANDAG, or the merged data files created by SSDC staff, or create subsets and download those in any of a number of popular formats (e.g., SPSS, SAS, csv, etc.). Those who wish to quickly view the statistics in spreadsheet form may wish to use the links below to Excel spreadsheets created by SSDC staff. These spreadsheets do not contain all the data, but do contain the most often used variables and are easy to read and use . Those SANDAG maps and administrative digital boundary files that are available to everyone are available here through SSDC. The UCSD Library GIS Lab has additional digital boundary files that can be used only by UCSD faculty, students and staff.

Population by Age, Sex and Ethnicity by San Diego Region from the 2000 Decennial Census

Population by Age, Sex and Ethnicity by City of San Diego Council District from the Series 12 Regional Growth Forecast